From 297ea9b859e12fd0eed323788ec1ac3b84332066 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Mon, 24 Apr 2023 19:48:19 -0400 Subject: [PATCH 01/10] update readme --- README.md | 65 +++++++++++++++++++++++++++++++++---------------------- 1 file changed, 39 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index 84782817..66674b39 100644 --- a/README.md +++ b/README.md @@ -18,14 +18,13 @@ A machine learning library for unsupervised time series anomaly detection. -| Important Links | | -| ----------------------------------- | -------------------------------------------------------------------- | -| :computer: **[Website]** | Check out the Sintel Website for more information about the project. | -| :book: **[Documentation]** | Quickstarts, User and Development Guides, and API Reference. | -| :star: **[Tutorials]** | Checkout our notebooks | -| :octocat: **[Repository]** | The link to the Github Repository of this library. | -| :scroll: **[License]** | The repository is published under the MIT License. | -| :keyboard: **[Development Status]** | This software is in its Pre-Alpha stage. | +| Important Links | | +| --------------------------------------------- | -------------------------------------------------------------------- | +| :computer: **[Website]** | Check out the Sintel Website for more information about the project. | +| :book: **[Documentation]** | Quickstarts, User and Development Guides, and API Reference. | +| :star: **[Tutorials]** | Checkout our notebooks | +| :octocat: **[Repository]** | The link to the Github Repository of this library. | +| :scroll: **[License]** | The repository is published under the MIT License. | | [![][Slack Logo] **Community**][Community] | Join our Slack Workspace for announcements and discussions. | [Website]: https://sintel.dev/ @@ -33,7 +32,6 @@ A machine learning library for unsupervised time series anomaly detection. [Tutorials]: https://github.com/sintel-dev/Orion/tree/master/tutorials [Repository]: https://github.com/sintel-dev/Orion [License]: https://github.com/sintel-dev/Orion/blob/master/LICENSE -[Development Status]: https://pypi.org/search/?c=Development+Status+%3A%3A+2+-+Pre-Alpha [Community]: https://join.slack.com/t/sintel-space/shared_invite/zt-q147oimb-4HcphcxPfDAM0O9_4PaUtw [Slack Logo]: https://github.com/sintel-dev/Orion/blob/master/docs/images/slack.png @@ -87,20 +85,20 @@ which should show a signal with `timestamp` and `value`. 4 1222905600 -0.370746 ``` -In this example we use `lstm_dynamic_threshold` pipeline and set some hyperparameters (in this case training epochs as 5). +In this example we use `aer` pipeline and set some hyperparameters (in this case training epochs as 5). ```python3 from orion import Orion hyperparameters = { - 'keras.Sequential.LSTMTimeSeriesRegressor#1': { + 'orion.primitives.aer.AER#1': { 'epochs': 5, 'verbose': True } } orion = Orion( - pipeline='lstm_dynamic_threshold', + pipeline='aer', hyperparameters=hyperparameters ) @@ -136,8 +134,8 @@ We run the benchmark on **11** datasets with their known grounth truth. We recor | LSTM Autoencoder | 6 | | Dense Autoencoder | 6 | | VAE | 7 | -| GANF | 6 | -| Azure | 0 | +| [GANF](https://arxiv.org/pdf/2202.07857.pdf) | 6 | +| [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/anomaly-detector/) | 0 | You can find the scores of each pipeline on every signal recorded in the [details Google Sheets document](https://docs.google.com/spreadsheets/d/1HaYDjY-BEXEObbi65fwG0om5d8kbRarhpK4mvOZVmqU/edit?usp=sharing). The summarized results can also be browsed in the following [summary Google Sheets document](https://docs.google.com/spreadsheets/d/1ZPUwYH8LhDovVeuJhKYGXYny7472HXVCzhX6D6PObmg/edit?usp=sharing). @@ -151,24 +149,22 @@ Additional resources that might be of interest: # Citation -If you use **Orion** which is part of the **Sintel** ecosystem for your research, please consider citing the following paper: +If you use **AER** for your research, please consider citing the following paper: + +Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni. [AER: Auto-Encoder with Regression for Time Series Anomaly Detection](https://arxiv.org/pdf/2212.13558.pdf). -Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Equille, Kalyan Veeramachaneni. [Sintel: A Machine Learning Framework to Extract Insights from Signals](https://dl.acm.org/doi/pdf/10.1145/3514221.3517910). ``` -@inproceedings{alnegheimish2022sintel, - title={Sintel: A Machine Learning Framework to Extract Insights from Signals}, - author={Alnegheimish, Sarah and Liu, Dongyu and Sala, Carles and Berti-Equille, Laure and Veeramachaneni, Kalyan}, - booktitle={Proceedings of the 2022 International Conference on Management of Data}, - pages = {1855–1865}, - numpages = {11}, - publisher={Association for Computing Machinery}, - doi = {10.1145/3514221.3517910}, - series = {SIGMOD '22}, +@inproceedings{wong2022aer, + title={AER: Auto-Encoder with Regression for Time Series Anomaly Detection}, + author={Wong, Lawrence and Liu, Dongyu and Berti-Equille, Laure and Alnegheimish, Sarah and Veeramachaneni, Kalyan}, + booktitle={2022 IEEE International Conference on Big Data (IEEE BigData)}, + pages={1152-1161}, + doi={10.1109/BigData55660.2022.10020857}, + organization={IEEE}, year={2022} } ``` - If you use **TadGAN** for your research, please consider citing the following paper: Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni. [TadGAN - Time Series Anomaly Detection Using Generative Adversarial Networks](https://arxiv.org/pdf/2009.07769v3.pdf). @@ -184,3 +180,20 @@ Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan year={2020} } ``` + +If you use **Orion** which is part of the **Sintel** ecosystem for your research, please consider citing the following paper: + +Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Equille, Kalyan Veeramachaneni. [Sintel: A Machine Learning Framework to Extract Insights from Signals](https://dl.acm.org/doi/pdf/10.1145/3514221.3517910). +``` +@inproceedings{alnegheimish2022sintel, + title={Sintel: A Machine Learning Framework to Extract Insights from Signals}, + author={Alnegheimish, Sarah and Liu, Dongyu and Sala, Carles and Berti-Equille, Laure and Veeramachaneni, Kalyan}, + booktitle={Proceedings of the 2022 International Conference on Management of Data}, + pages={1855–1865}, + numpages={11}, + publisher={Association for Computing Machinery}, + doi={10.1145/3514221.3517910}, + series={SIGMOD '22}, + year={2022} +} +``` From f4344cd62b7e292447474513eb500ccc782ca084 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Wed, 26 Apr 2023 12:11:03 -0400 Subject: [PATCH 02/10] change mlprimitives to mlstars --- docs/user_guides/primitives_pipelines/pipelines.rst | 4 ++-- docs/user_guides/primitives_pipelines/primitives.rst | 2 +- .../primitives_pipelines/primitives/AER.rst | 2 +- .../primitives_pipelines/primitives/DenseSeq2Seq.rst | 2 +- .../primitives_pipelines/primitives/LSTMSeq2Seq.rst | 2 +- .../primitives/LSTMTimeSeriesRegressor.rst | 4 ++-- .../primitives_pipelines/primitives/MinMaxScaler.rst | 4 ++-- .../primitives/SimpleImputer.rst | 4 ++-- .../primitives_pipelines/primitives/TadGAN.rst | 2 +- .../primitives_pipelines/primitives/VAE.rst | 2 +- .../primitives_pipelines/primitives/arima.rst | 4 ++-- .../primitives_pipelines/primitives/fillna.rst | 2 +- .../primitives/find_anomalies.rst | 2 +- .../primitives/intervals_to_mask.rst | 8 ++++---- .../primitives/reconstruction_errors.rst | 2 +- .../primitives/regression_errors.rst | 2 +- .../primitives/rolling_window_sequences.rst | 8 ++++---- .../primitives/score_anomalies.rst | 2 +- .../primitives/time_segments_aggregate.rst | 8 ++++---- orion/pipelines/verified/aer/aer.json | 10 +++++----- .../verified/aer/aer_artificialwithanomaly.json | 2 +- orion/pipelines/verified/aer/aer_msl.json | 2 +- orion/pipelines/verified/aer/aer_realadexchange.json | 2 +- .../verified/aer/aer_realawscloudwatch.json | 2 +- orion/pipelines/verified/aer/aer_realtraffic.json | 2 +- orion/pipelines/verified/aer/aer_realtweets.json | 2 +- orion/pipelines/verified/aer/aer_smap.json | 2 +- orion/pipelines/verified/aer/aer_viz.json | 10 +++++----- orion/pipelines/verified/aer/aer_yahooa1.json | 2 +- orion/pipelines/verified/aer/aer_yahooa2.json | 2 +- orion/pipelines/verified/aer/aer_yahooa3.json | 2 +- orion/pipelines/verified/aer/aer_yahooa4.json | 2 +- orion/pipelines/verified/arima/arima.json | 8 ++++---- .../verified/arima/arima_artificialwithanomaly.json | 4 ++-- orion/pipelines/verified/arima/arima_msl.json | 4 ++-- .../verified/arima/arima_realadexchange.json | 4 ++-- .../verified/arima/arima_realawscloudwatch.json | 4 ++-- .../pipelines/verified/arima/arima_realtraffic.json | 4 ++-- orion/pipelines/verified/arima/arima_realtweets.json | 4 ++-- orion/pipelines/verified/arima/arima_smap.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa1.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa2.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa3.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa4.json | 4 ++-- orion/pipelines/verified/azure/azure.json | 4 ++-- .../verified/azure/azure_artificialwithanomaly.json | 2 +- orion/pipelines/verified/azure/azure_msl.json | 2 +- .../verified/azure/azure_realadexchange.json | 2 +- .../verified/azure/azure_realawscloudwatch.json | 2 +- .../pipelines/verified/azure/azure_realtraffic.json | 2 +- orion/pipelines/verified/azure/azure_realtweets.json | 2 +- orion/pipelines/verified/azure/azure_smap.json | 2 +- orion/pipelines/verified/azure/azure_yahooa1.json | 2 +- orion/pipelines/verified/azure/azure_yahooa2.json | 2 +- orion/pipelines/verified/azure/azure_yahooa3.json | 2 +- orion/pipelines/verified/azure/azure_yahooa4.json | 2 +- .../dense_autoencoder/dense_autoencoder.json | 10 +++++----- .../dense_autoencoder_artificialwithanomaly.json | 2 +- .../dense_autoencoder/dense_autoencoder_msl.json | 2 +- .../dense_autoencoder_realadexchange.json | 2 +- .../dense_autoencoder_realawscloudwatch.json | 2 +- .../dense_autoencoder_realtraffic.json | 2 +- .../dense_autoencoder_realtweets.json | 2 +- .../dense_autoencoder/dense_autoencoder_smap.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa1.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa2.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa3.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa4.json | 2 +- .../verified/lstm_autoencoder/lstm_autoencoder.json | 10 +++++----- .../lstm_autoencoder_artificialwithanomaly.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_msl.json | 2 +- .../lstm_autoencoder_realadexchange.json | 2 +- .../lstm_autoencoder_realawscloudwatch.json | 2 +- .../lstm_autoencoder_realtraffic.json | 2 +- .../lstm_autoencoder_realtweets.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_smap.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa1.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa2.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa3.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa4.json | 2 +- .../lstm_dynamic_threshold.json | 8 ++++---- ...lstm_dynamic_threshold_artificialwithanomaly.json | 4 ++-- .../lstm_dynamic_threshold_msl.json | 4 ++-- .../lstm_dynamic_threshold_realadexchange.json | 4 ++-- .../lstm_dynamic_threshold_realawscloudwatch.json | 4 ++-- .../lstm_dynamic_threshold_realtraffic.json | 4 ++-- .../lstm_dynamic_threshold_realtweets.json | 4 ++-- .../lstm_dynamic_threshold_smap.json | 4 ++-- .../lstm_dynamic_threshold_viz.json | 8 ++++---- .../lstm_dynamic_threshold_yahooa1.json | 4 ++-- .../lstm_dynamic_threshold_yahooa2.json | 4 ++-- .../lstm_dynamic_threshold_yahooa3.json | 4 ++-- .../lstm_dynamic_threshold_yahooa4.json | 4 ++-- .../lstm_dynamic_threshold/mean_24h_lstm.json | 8 ++++---- .../lstm_dynamic_threshold/median_24h_lstm.json | 8 ++++---- .../lstm_dynamic_threshold/skew_24h_lstm.json | 8 ++++---- .../lstm_dynamic_threshold/sum_24h_lstm.json | 8 ++++---- orion/pipelines/verified/tadgan/tadgan.json | 10 +++++----- .../tadgan/tadgan_artificialwithanomaly.json | 2 +- orion/pipelines/verified/tadgan/tadgan_msl.json | 2 +- .../verified/tadgan/tadgan_realadexchange.json | 2 +- .../verified/tadgan/tadgan_realawscloudwatch.json | 2 +- .../verified/tadgan/tadgan_realtraffic.json | 2 +- .../pipelines/verified/tadgan/tadgan_realtweets.json | 2 +- orion/pipelines/verified/tadgan/tadgan_smap.json | 2 +- orion/pipelines/verified/tadgan/tadgan_viz.json | 10 +++++----- .../verified/tadgan/tadgan_without_dropout_gpu.json | 10 +++++----- orion/pipelines/verified/tadgan/tadgan_yahooa1.json | 2 +- orion/pipelines/verified/tadgan/tadgan_yahooa2.json | 2 +- orion/pipelines/verified/tadgan/tadgan_yahooa3.json | 2 +- orion/pipelines/verified/tadgan/tadgan_yahooa4.json | 2 +- orion/pipelines/verified/vae/vae.json | 10 +++++----- .../verified/vae/vae_artificialwithanomaly.json | 2 +- orion/pipelines/verified/vae/vae_msl.json | 2 +- orion/pipelines/verified/vae/vae_realadexchange.json | 2 +- .../verified/vae/vae_realawscloudwatch.json | 2 +- orion/pipelines/verified/vae/vae_realtraffic.json | 2 +- orion/pipelines/verified/vae/vae_realtweets.json | 2 +- orion/pipelines/verified/vae/vae_smap.json | 2 +- orion/pipelines/verified/vae/vae_viz.json | 12 ++++++------ orion/pipelines/verified/vae/vae_yahooa1.json | 2 +- orion/pipelines/verified/vae/vae_yahooa2.json | 2 +- orion/pipelines/verified/vae/vae_yahooa3.json | 2 +- orion/pipelines/verified/vae/vae_yahooa4.json | 2 +- .../jsons/keras.Sequential.DenseSeq2Seq.json | 2 +- .../jsons/keras.Sequential.LSTMSeq2Seq.json | 2 +- setup.py | 2 +- 127 files changed, 222 insertions(+), 222 deletions(-) diff --git a/docs/user_guides/primitives_pipelines/pipelines.rst b/docs/user_guides/primitives_pipelines/pipelines.rst index e537533d..3a768077 100644 --- a/docs/user_guides/primitives_pipelines/pipelines.rst +++ b/docs/user_guides/primitives_pipelines/pipelines.rst @@ -8,7 +8,7 @@ The main component in the Orion project are the **Orion Pipelines**, which consi As ``MLPipeline`` instances, **Orion Pipelines**: -* consist of a list of one or more `MLPrimitives `__ +* consist of a list of one or more `mlstars `__ * can be *fitted* on some data and later on used to *predict* anomalies on more data * can be *scored* by comparing their predictions with some known anomalies * have *hyperparameters* that can be *tuned* to improve their anomaly detection performance @@ -153,7 +153,7 @@ Since pipelines are composed of :ref:`primitives`, you can discover the interpre "value": np.random.randint(0, 10, 500)}) hyperparameters = { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "interval": 300 }, 'keras.Sequential.LSTMTimeSeriesRegressor#1': { diff --git a/docs/user_guides/primitives_pipelines/primitives.rst b/docs/user_guides/primitives_pipelines/primitives.rst index e83f57a7..027cff7e 100644 --- a/docs/user_guides/primitives_pipelines/primitives.rst +++ b/docs/user_guides/primitives_pipelines/primitives.rst @@ -4,7 +4,7 @@ Primitives ========== -Primitives are data processing units. They are defined by the code that performs the actual processing and an annotated ``json`` file. To read more about primitives and their composition, visit `MLPrimitives `__. +Primitives are data processing units. They are defined by the code that performs the actual processing and an annotated ``json`` file. To read more about primitives and their composition, visit `mlstars `__. Preprocessing ------------- diff --git a/docs/user_guides/primitives_pipelines/primitives/AER.rst b/docs/user_guides/primitives_pipelines/primitives/AER.rst index fc92b66a..3f0e6d19 100644 --- a/docs/user_guides/primitives_pipelines/primitives/AER.rst +++ b/docs/user_guides/primitives_pipelines/primitives/AER.rst @@ -40,7 +40,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.ones((64, 100, 1)) y = X[:,:, [0]] # signal to reconstruct from X (channel 0) diff --git a/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst b/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst index 93f6c433..ee7be16d 100644 --- a/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst +++ b/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst @@ -47,7 +47,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) diff --git a/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst b/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst index 00c71578..dd3c1516 100644 --- a/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst +++ b/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst @@ -49,7 +49,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) diff --git a/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst b/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst index 1f16be70..d5ca166f 100644 --- a/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst +++ b/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst @@ -7,7 +7,7 @@ LSTM **description**: this is a prediction model with double stacked LSTM layers used as a time series regressor. you can read more about it in the `related paper `__. -see `json `__. +see `json `__. ====================== =================== =========================================================================================================================================== argument type description @@ -48,7 +48,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) y = np.array([[1]]) diff --git a/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst b/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst index 6cb9d1b8..d31e4b74 100644 --- a/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst +++ b/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst @@ -7,7 +7,7 @@ MinMaxScaler **description**: this primitive transforms features by scaling each feature to a given range. -see `json `__. +see `json `__. ==================== =================== ============================================================================================================= argument type description @@ -33,7 +33,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array(range(5)).reshape(-1, 1) primitive = load_primitive('sklearn.preprocessing.MinMaxScaler', diff --git a/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst b/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst index c59f4f78..000992e0 100644 --- a/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst +++ b/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst @@ -7,7 +7,7 @@ SimpleImputer **description**: this primitive is an imputation transformer for filling missing values. -see `json `__. +see `json `__. ==================== ========================================================= ========================================== argument type description @@ -35,7 +35,7 @@ argument type :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 4 + [np.nan]).reshape(-1, 1) primitive = load_primitive('sklearn.impute.SimpleImputer', diff --git a/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst b/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst index 7d418023..baf4a7f0 100644 --- a/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst +++ b/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst @@ -44,7 +44,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) y = X[:,:, [0]] # signal to reconstruct from X (channel 0) diff --git a/docs/user_guides/primitives_pipelines/primitives/VAE.rst b/docs/user_guides/primitives_pipelines/primitives/VAE.rst index c9cbdcfd..590d2f5e 100644 --- a/docs/user_guides/primitives_pipelines/primitives/VAE.rst +++ b/docs/user_guides/primitives_pipelines/primitives/VAE.rst @@ -46,7 +46,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) diff --git a/docs/user_guides/primitives_pipelines/primitives/arima.rst b/docs/user_guides/primitives_pipelines/primitives/arima.rst index 8ed8c927..0c95e9c1 100644 --- a/docs/user_guides/primitives_pipelines/primitives/arima.rst +++ b/docs/user_guides/primitives_pipelines/primitives/arima.rst @@ -7,7 +7,7 @@ ARIMA **description**: this is an Autoregressive Integrated Moving Average (ARIMA) prediction model. -see `json `__. +see `json `__. ==================== =================== ================================================================== argument type description @@ -35,7 +35,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array(range(100)).reshape(-1, 1) primitive = load_primitive('statsmodels.tsa.arima_model.Arima', diff --git a/docs/user_guides/primitives_pipelines/primitives/fillna.rst b/docs/user_guides/primitives_pipelines/primitives/fillna.rst index 03b7cdd7..df818375 100644 --- a/docs/user_guides/primitives_pipelines/primitives/fillna.rst +++ b/docs/user_guides/primitives_pipelines/primitives/fillna.rst @@ -35,7 +35,7 @@ argument type :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 4 + [np.nan]).reshape(-1, 1) primitive = load_primitive('orion.primitives.timeseries_preprocessing.fillna', diff --git a/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst b/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst index 4783dd73..6ac0b5ef 100644 --- a/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst +++ b/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst @@ -39,7 +39,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive primitive = load_primitive('orion.primitives.timeseries_anomalies.find_anomalies', arguments={"anomaly_padding": 1}) diff --git a/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst b/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst index ded94c65..6e1c4431 100644 --- a/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst +++ b/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst @@ -3,11 +3,11 @@ intervals to mask ~~~~~~~~~~~~~~~~~ -**path**: ``mlprimitives.custom.timeseries_preprocessing.intervals_to_mask`` +**path**: ``mlstars.custom.timeseries_preprocessing.intervals_to_mask`` **description**: this primitive creates boolean mask from given intervals. -see `json `__. +see `json `__. ==================== =============================== ================================================================================================================================= argument type description @@ -28,9 +28,9 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive - primitive = load_primitive('mlprimitives.custom.timeseries_preprocessing.intervals_to_mask') + primitive = load_primitive('mlstars.custom.timeseries_preprocessing.intervals_to_mask') index = np.array(range(10)) intervals = [(1, 3), (7, 7)] diff --git a/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst b/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst index b6df2ad5..2ae7a8fd 100644 --- a/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst +++ b/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst @@ -38,7 +38,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive primitive = load_primitive('orion.primitives.timeseries_errors.reconstruction_errors') y = np.array([[1]] * 100) diff --git a/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst b/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst index 00599cf6..1fc751b8 100644 --- a/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst +++ b/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst @@ -37,7 +37,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive primitive = load_primitive('orion.primitives.timeseries_errors.regression_errors') y = np.array([[1]] * 100) diff --git a/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst b/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst index b65e61bd..14656f43 100644 --- a/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst +++ b/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst @@ -3,11 +3,11 @@ rolling window sequence ~~~~~~~~~~~~~~~~~~~~~~~ -**path**: ``mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences`` +**path**: ``mlstars.custom.timeseries_preprocessing.rolling_window_sequences`` **description**: this primitive generates many sub-sequences of the original sequence. it uses a rolling window approach to create the sub-sequences out of time series data. -see `json `__. +see `json `__. ==================== ============================================================== ================================================================== argument type description @@ -41,9 +41,9 @@ see `json `__. +see `json `__. ==================== =========================================== ============================================================================================================================= argument type description @@ -28,9 +28,9 @@ argument type description .. ipython:: python :okwarning: - from mlprimitives import load_primitive + from mlstars import load_primitive - primitive = load_primitive('mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate', + primitive = load_primitive('mlstars.custom.timeseries_preprocessing.time_segments_aggregate', arguments={"time_column": "timestamp", "interval":10, "method":'mean'}) df = pd.DataFrame({ diff --git a/orion/pipelines/verified/aer/aer.json b/orion/pipelines/verified/aer/aer.json index 2c3479a1..64e8e886 100644 --- a/orion/pipelines/verified/aer/aer.json +++ b/orion/pipelines/verified/aer/aer.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.aer.AER", "orion.primitives.aer.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ } }, "output_names": { - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/aer/aer_artificialwithanomaly.json b/orion/pipelines/verified/aer/aer_artificialwithanomaly.json index e30ca453..b0a304d9 100644 --- a/orion/pipelines/verified/aer/aer_artificialwithanomaly.json +++ b/orion/pipelines/verified/aer/aer_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_msl.json b/orion/pipelines/verified/aer/aer_msl.json index 0163c11c..c4adff01 100644 --- a/orion/pipelines/verified/aer/aer_msl.json +++ b/orion/pipelines/verified/aer/aer_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realadexchange.json b/orion/pipelines/verified/aer/aer_realadexchange.json index d56739fc..38026cf5 100644 --- a/orion/pipelines/verified/aer/aer_realadexchange.json +++ b/orion/pipelines/verified/aer/aer_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realawscloudwatch.json b/orion/pipelines/verified/aer/aer_realawscloudwatch.json index 21d489a9..3010df15 100644 --- a/orion/pipelines/verified/aer/aer_realawscloudwatch.json +++ b/orion/pipelines/verified/aer/aer_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realtraffic.json b/orion/pipelines/verified/aer/aer_realtraffic.json index e30ca453..b0a304d9 100644 --- a/orion/pipelines/verified/aer/aer_realtraffic.json +++ b/orion/pipelines/verified/aer/aer_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realtweets.json b/orion/pipelines/verified/aer/aer_realtweets.json index 7f42b5fd..32a87dad 100644 --- a/orion/pipelines/verified/aer/aer_realtweets.json +++ b/orion/pipelines/verified/aer/aer_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_smap.json b/orion/pipelines/verified/aer/aer_smap.json index 0163c11c..c4adff01 100644 --- a/orion/pipelines/verified/aer/aer_smap.json +++ b/orion/pipelines/verified/aer/aer_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_viz.json b/orion/pipelines/verified/aer/aer_viz.json index acb840bb..0b8c5e1e 100644 --- a/orion/pipelines/verified/aer/aer_viz.json +++ b/orion/pipelines/verified/aer/aer_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.aer.AER", "orion.primitives.aer.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ } }, "output_names": { - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/aer/aer_yahooa1.json b/orion/pipelines/verified/aer/aer_yahooa1.json index 609e98e1..d87e0d23 100644 --- a/orion/pipelines/verified/aer/aer_yahooa1.json +++ b/orion/pipelines/verified/aer/aer_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa2.json b/orion/pipelines/verified/aer/aer_yahooa2.json index ed19fc1d..14c3edfc 100644 --- a/orion/pipelines/verified/aer/aer_yahooa2.json +++ b/orion/pipelines/verified/aer/aer_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa3.json b/orion/pipelines/verified/aer/aer_yahooa3.json index 51d7cc4d..6ca883b0 100644 --- a/orion/pipelines/verified/aer/aer_yahooa3.json +++ b/orion/pipelines/verified/aer/aer_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa4.json b/orion/pipelines/verified/aer/aer_yahooa4.json index 51d7cc4d..6ca883b0 100644 --- a/orion/pipelines/verified/aer/aer_yahooa4.json +++ b/orion/pipelines/verified/aer/aer_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/arima/arima.json b/orion/pipelines/verified/arima/arima.json index eb35fba5..74e77c38 100644 --- a/orion/pipelines/verified/arima/arima.json +++ b/orion/pipelines/verified/arima/arima.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "numpy.reshape", "statsmodels.tsa.arima_model.Arima", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_artificialwithanomaly.json b/orion/pipelines/verified/arima/arima_artificialwithanomaly.json index 740e510d..70ef7d5e 100644 --- a/orion/pipelines/verified/arima/arima_artificialwithanomaly.json +++ b/orion/pipelines/verified/arima/arima_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_msl.json b/orion/pipelines/verified/arima/arima_msl.json index 79e756b3..306535e3 100644 --- a/orion/pipelines/verified/arima/arima_msl.json +++ b/orion/pipelines/verified/arima/arima_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realadexchange.json b/orion/pipelines/verified/arima/arima_realadexchange.json index d257d0c8..0a360ef3 100644 --- a/orion/pipelines/verified/arima/arima_realadexchange.json +++ b/orion/pipelines/verified/arima/arima_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realawscloudwatch.json b/orion/pipelines/verified/arima/arima_realawscloudwatch.json index 740e510d..70ef7d5e 100644 --- a/orion/pipelines/verified/arima/arima_realawscloudwatch.json +++ b/orion/pipelines/verified/arima/arima_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realtraffic.json b/orion/pipelines/verified/arima/arima_realtraffic.json index 740e510d..70ef7d5e 100644 --- a/orion/pipelines/verified/arima/arima_realtraffic.json +++ b/orion/pipelines/verified/arima/arima_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realtweets.json b/orion/pipelines/verified/arima/arima_realtweets.json index 740e510d..70ef7d5e 100644 --- a/orion/pipelines/verified/arima/arima_realtweets.json +++ b/orion/pipelines/verified/arima/arima_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_smap.json b/orion/pipelines/verified/arima/arima_smap.json index 79e756b3..306535e3 100644 --- a/orion/pipelines/verified/arima/arima_smap.json +++ b/orion/pipelines/verified/arima/arima_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa1.json b/orion/pipelines/verified/arima/arima_yahooa1.json index 5775e641..d43f1728 100644 --- a/orion/pipelines/verified/arima/arima_yahooa1.json +++ b/orion/pipelines/verified/arima/arima_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa2.json b/orion/pipelines/verified/arima/arima_yahooa2.json index 5775e641..d43f1728 100644 --- a/orion/pipelines/verified/arima/arima_yahooa2.json +++ b/orion/pipelines/verified/arima/arima_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa3.json b/orion/pipelines/verified/arima/arima_yahooa3.json index 5775e641..d43f1728 100644 --- a/orion/pipelines/verified/arima/arima_yahooa3.json +++ b/orion/pipelines/verified/arima/arima_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa4.json b/orion/pipelines/verified/arima/arima_yahooa4.json index 5775e641..d43f1728 100644 --- a/orion/pipelines/verified/arima/arima_yahooa4.json +++ b/orion/pipelines/verified/arima/arima_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/azure/azure.json b/orion/pipelines/verified/azure/azure.json index 84651ed9..c4a899f5 100644 --- a/orion/pipelines/verified/azure/azure.json +++ b/orion/pipelines/verified/azure/azure.json @@ -1,13 +1,13 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", "orion.primitives.azure_anomaly_detector.split_sequence", "orion.primitives.azure_anomaly_detector.detect_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_artificialwithanomaly.json b/orion/pipelines/verified/azure/azure_artificialwithanomaly.json index 15b4854a..fde9a1a7 100644 --- a/orion/pipelines/verified/azure/azure_artificialwithanomaly.json +++ b/orion/pipelines/verified/azure/azure_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_msl.json b/orion/pipelines/verified/azure/azure_msl.json index a0559454..3f6cee43 100644 --- a/orion/pipelines/verified/azure/azure_msl.json +++ b/orion/pipelines/verified/azure/azure_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realadexchange.json b/orion/pipelines/verified/azure/azure_realadexchange.json index c7a9ef3f..d5ba1cb2 100644 --- a/orion/pipelines/verified/azure/azure_realadexchange.json +++ b/orion/pipelines/verified/azure/azure_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realawscloudwatch.json b/orion/pipelines/verified/azure/azure_realawscloudwatch.json index 15b4854a..fde9a1a7 100644 --- a/orion/pipelines/verified/azure/azure_realawscloudwatch.json +++ b/orion/pipelines/verified/azure/azure_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realtraffic.json b/orion/pipelines/verified/azure/azure_realtraffic.json index 15b4854a..fde9a1a7 100644 --- a/orion/pipelines/verified/azure/azure_realtraffic.json +++ b/orion/pipelines/verified/azure/azure_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realtweets.json b/orion/pipelines/verified/azure/azure_realtweets.json index 15b4854a..fde9a1a7 100644 --- a/orion/pipelines/verified/azure/azure_realtweets.json +++ b/orion/pipelines/verified/azure/azure_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_smap.json b/orion/pipelines/verified/azure/azure_smap.json index a0559454..3f6cee43 100644 --- a/orion/pipelines/verified/azure/azure_smap.json +++ b/orion/pipelines/verified/azure/azure_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa1.json b/orion/pipelines/verified/azure/azure_yahooa1.json index 4d35643f..0a418d6e 100644 --- a/orion/pipelines/verified/azure/azure_yahooa1.json +++ b/orion/pipelines/verified/azure/azure_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa2.json b/orion/pipelines/verified/azure/azure_yahooa2.json index 4d35643f..0a418d6e 100644 --- a/orion/pipelines/verified/azure/azure_yahooa2.json +++ b/orion/pipelines/verified/azure/azure_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa3.json b/orion/pipelines/verified/azure/azure_yahooa3.json index 4d35643f..0a418d6e 100644 --- a/orion/pipelines/verified/azure/azure_yahooa3.json +++ b/orion/pipelines/verified/azure/azure_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa4.json b/orion/pipelines/verified/azure/azure_yahooa4.json index 4d35643f..0a418d6e 100644 --- a/orion/pipelines/verified/azure/azure_yahooa4.json +++ b/orion/pipelines/verified/azure/azure_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json index 4e94fba7..5f6d4f7c 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "keras.Sequential.DenseSeq2Seq", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -18,7 +18,7 @@ "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100 }, @@ -43,7 +43,7 @@ "keras.Sequential.DenseSeq2Seq#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json index d710250c..19c5f050 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json index 0cdc3856..693756d8 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json index d710250c..19c5f050 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json index b13bf66a..367ae312 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "keras.Sequential.LSTMSeq2Seq", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -18,7 +18,7 @@ "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100 }, @@ -43,7 +43,7 @@ "keras.Sequential.LSTMSeq2Seq#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json index d710250c..19c5f050 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json index 0cdc3856..693756d8 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json index d710250c..19c5f050 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json index 24a9f603..0e07913a 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json index 60a0d19e..25b598ec 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json index 1e503202..6e7e620f 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json index 82a340b2..55d8f9ea 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json index 60a0d19e..25b598ec 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json index 60a0d19e..25b598ec 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json index 60a0d19e..25b598ec 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json index 1e503202..6e7e620f 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json index ec69213c..ee2d404d 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json index 25a2d283..2be457e5 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json index 25a2d283..2be457e5 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json index 25a2d283..2be457e5 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json index 25a2d283..2be457e5 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json index 142f0d3b..239604a9 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json index 6fe1d64b..e6c9c169 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "median" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json index ef93b99f..c0dbd5ea 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "skew" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json index fe5769c9..31e3f7c6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "sum" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/tadgan/tadgan.json b/orion/pipelines/verified/tadgan/tadgan.json index 797d1bdc..fb6cd78f 100644 --- a/orion/pipelines/verified/tadgan/tadgan.json +++ b/orion/pipelines/verified/tadgan/tadgan.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json b/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json index 501dc9e4..76a8d644 100644 --- a/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json +++ b/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_msl.json b/orion/pipelines/verified/tadgan/tadgan_msl.json index b5ffac03..8a07746a 100644 --- a/orion/pipelines/verified/tadgan/tadgan_msl.json +++ b/orion/pipelines/verified/tadgan/tadgan_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realadexchange.json b/orion/pipelines/verified/tadgan/tadgan_realadexchange.json index 8cad9f1f..c10ccf41 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realadexchange.json +++ b/orion/pipelines/verified/tadgan/tadgan_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json b/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json index 077b7b61..ab897a05 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json +++ b/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realtraffic.json b/orion/pipelines/verified/tadgan/tadgan_realtraffic.json index b23563a4..0d4a6091 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realtraffic.json +++ b/orion/pipelines/verified/tadgan/tadgan_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realtweets.json b/orion/pipelines/verified/tadgan/tadgan_realtweets.json index b23563a4..0d4a6091 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realtweets.json +++ b/orion/pipelines/verified/tadgan/tadgan_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_smap.json b/orion/pipelines/verified/tadgan/tadgan_smap.json index b5ffac03..8a07746a 100644 --- a/orion/pipelines/verified/tadgan/tadgan_smap.json +++ b/orion/pipelines/verified/tadgan/tadgan_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_viz.json b/orion/pipelines/verified/tadgan/tadgan_viz.json index 032266d7..3a8b9e53 100644 --- a/orion/pipelines/verified/tadgan/tadgan_viz.json +++ b/orion/pipelines/verified/tadgan/tadgan_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -53,7 +53,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json b/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json index 0fee60a0..c73dc994 100644 --- a/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json +++ b/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -165,7 +165,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa1.json b/orion/pipelines/verified/tadgan/tadgan_yahooa1.json index bae702ec..c8830600 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa1.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa2.json b/orion/pipelines/verified/tadgan/tadgan_yahooa2.json index 46e90a52..debaa5e7 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa2.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa3.json b/orion/pipelines/verified/tadgan/tadgan_yahooa3.json index 1435c127..a6d151c9 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa3.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa4.json b/orion/pipelines/verified/tadgan/tadgan_yahooa4.json index c47e3389..2978187f 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa4.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/vae/vae.json b/orion/pipelines/verified/vae/vae.json index 66411f6e..782ada08 100644 --- a/orion/pipelines/verified/vae/vae.json +++ b/orion/pipelines/verified/vae/vae.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.vae.VAE", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -44,7 +44,7 @@ "orion.primitives.vae.VAE#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/vae/vae_artificialwithanomaly.json b/orion/pipelines/verified/vae/vae_artificialwithanomaly.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/vae/vae_artificialwithanomaly.json +++ b/orion/pipelines/verified/vae/vae_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_msl.json b/orion/pipelines/verified/vae/vae_msl.json index d710250c..19c5f050 100644 --- a/orion/pipelines/verified/vae/vae_msl.json +++ b/orion/pipelines/verified/vae/vae_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/vae/vae_realadexchange.json b/orion/pipelines/verified/vae/vae_realadexchange.json index 0cdc3856..693756d8 100644 --- a/orion/pipelines/verified/vae/vae_realadexchange.json +++ b/orion/pipelines/verified/vae/vae_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/vae/vae_realawscloudwatch.json b/orion/pipelines/verified/vae/vae_realawscloudwatch.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/vae/vae_realawscloudwatch.json +++ b/orion/pipelines/verified/vae/vae_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_realtraffic.json b/orion/pipelines/verified/vae/vae_realtraffic.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/vae/vae_realtraffic.json +++ b/orion/pipelines/verified/vae/vae_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_realtweets.json b/orion/pipelines/verified/vae/vae_realtweets.json index 95c8759e..0172464f 100644 --- a/orion/pipelines/verified/vae/vae_realtweets.json +++ b/orion/pipelines/verified/vae/vae_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_smap.json b/orion/pipelines/verified/vae/vae_smap.json index d710250c..19c5f050 100644 --- a/orion/pipelines/verified/vae/vae_smap.json +++ b/orion/pipelines/verified/vae/vae_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/vae/vae_viz.json b/orion/pipelines/verified/vae/vae_viz.json index 7be6c7f7..320eca4d 100644 --- a/orion/pipelines/verified/vae/vae_viz.json +++ b/orion/pipelines/verified/vae/vae_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.vae.VAE", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -44,7 +44,7 @@ "orion.primitives.vae.VAE#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } @@ -67,7 +67,7 @@ }, { "name": "index", - "variable": "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1.index" + "variable": "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1.index" }, { "name": "errors", diff --git a/orion/pipelines/verified/vae/vae_yahooa1.json b/orion/pipelines/verified/vae/vae_yahooa1.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/vae/vae_yahooa1.json +++ b/orion/pipelines/verified/vae/vae_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa2.json b/orion/pipelines/verified/vae/vae_yahooa2.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/vae/vae_yahooa2.json +++ b/orion/pipelines/verified/vae/vae_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa3.json b/orion/pipelines/verified/vae/vae_yahooa3.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/vae/vae_yahooa3.json +++ b/orion/pipelines/verified/vae/vae_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa4.json b/orion/pipelines/verified/vae/vae_yahooa4.json index 6d2255f1..6e1fb56b 100644 --- a/orion/pipelines/verified/vae/vae_yahooa4.json +++ b/orion/pipelines/verified/vae/vae_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json b/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json index 61be51c0..eb0e520d 100644 --- a/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json +++ b/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json @@ -10,7 +10,7 @@ "subtype": "regressor" }, "modalities": [], - "primitive": "mlprimitives.adapters.keras.Sequential", + "primitive": "mlstar.adapters.keras.Sequential", "fit": { "method": "fit", "args": [ diff --git a/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json b/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json index 92519029..6049ac6b 100644 --- a/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json +++ b/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json @@ -10,7 +10,7 @@ "subtype": "regressor" }, "modalities": [], - "primitive": "mlprimitives.adapters.keras.Sequential", + "primitive": "mlstar.adapters.keras.Sequential", "fit": { "method": "fit", "args": [ diff --git a/setup.py b/setup.py index c30dfaee..73255e81 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ "tensorflow>=2.2,<2.5;python_version>='3.8'", 's3fs>=0.2.2,<0.5', 'mlblocks>=0.4.1,<0.5', - 'mlprimitives>=0.3.2,<0.4', + 'ml-stars>=0.1.0,<0.2', 'numpy>=1.17.4,<1.19', 'pandas>=1,<2', 'scikit-learn>=0.22,<1.2', From f7f0f3b1ffcd58a65fc96cea0303024d1c979b7d Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Thu, 11 May 2023 12:19:50 -0400 Subject: [PATCH 03/10] change s3 bucket --- orion/benchmark.py | 2 +- orion/data.py | 2 +- tests/test_analysis.py | 4 ++-- tests/test_data.py | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/orion/benchmark.py b/orion/benchmark.py index 3108f51d..99b733c9 100644 --- a/orion/benchmark.py +++ b/orion/benchmark.py @@ -28,7 +28,7 @@ LOGGER = logging.getLogger(__name__) -BUCKET = 'd3-ai-orion' +BUCKET = 'sintel-orion' S3_URL = 'https://{}.s3.amazonaws.com/{}' BENCHMARK_PATH = os.path.join(os.path.join( diff --git a/orion/data.py b/orion/data.py index 1be8bc35..4afdedc6 100644 --- a/orion/data.py +++ b/orion/data.py @@ -24,7 +24,7 @@ os.path.dirname(os.path.abspath(__file__)), 'data' ) -BUCKET = 'd3-ai-orion' +BUCKET = 'sintel-orion' S3_URL = 'https://{}.s3.amazonaws.com/{}' NASA_SIGNALS = ( diff --git a/tests/test_analysis.py b/tests/test_analysis.py index 66b2743a..0668f221 100644 --- a/tests/test_analysis.py +++ b/tests/test_analysis.py @@ -9,11 +9,11 @@ @pytest.fixture def tadgan_hyperparameters(): return { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "interval": 1, "time_column": "timestamp", }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 diff --git a/tests/test_data.py b/tests/test_data.py index 6e23539b..77814edb 100644 --- a/tests/test_data.py +++ b/tests/test_data.py @@ -49,7 +49,7 @@ def test_download_new(exists_mock, read_csv_mock): # assert assert returned == read_csv_mock.return_value - expected_url = 'https://d3-ai-orion.s3.amazonaws.com/a_signal_name.csv' + expected_url = 'https://sintel-orion.s3.amazonaws.com/a_signal_name.csv' read_csv_mock.assert_called_once_with(expected_url) expected_filename = os.path.join(DATA_PATH, 'a_signal_name.csv') From adf2b6eec2c8d49c69feb3a3e36c8a9ec39e242e Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Thu, 11 May 2023 17:30:18 -0400 Subject: [PATCH 04/10] fix mlstars import --- orion/pipelines/verified/aer/aer.json | 10 +++++----- .../verified/aer/aer_artificialwithanomaly.json | 2 +- orion/pipelines/verified/aer/aer_msl.json | 2 +- orion/pipelines/verified/aer/aer_realadexchange.json | 2 +- .../verified/aer/aer_realawscloudwatch.json | 2 +- orion/pipelines/verified/aer/aer_realtraffic.json | 2 +- orion/pipelines/verified/aer/aer_realtweets.json | 2 +- orion/pipelines/verified/aer/aer_smap.json | 2 +- orion/pipelines/verified/aer/aer_viz.json | 10 +++++----- orion/pipelines/verified/aer/aer_yahooa1.json | 2 +- orion/pipelines/verified/aer/aer_yahooa2.json | 2 +- orion/pipelines/verified/aer/aer_yahooa3.json | 2 +- orion/pipelines/verified/aer/aer_yahooa4.json | 2 +- orion/pipelines/verified/arima/arima.json | 8 ++++---- .../verified/arima/arima_artificialwithanomaly.json | 4 ++-- orion/pipelines/verified/arima/arima_msl.json | 4 ++-- .../verified/arima/arima_realadexchange.json | 4 ++-- .../verified/arima/arima_realawscloudwatch.json | 4 ++-- .../pipelines/verified/arima/arima_realtraffic.json | 4 ++-- orion/pipelines/verified/arima/arima_realtweets.json | 4 ++-- orion/pipelines/verified/arima/arima_smap.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa1.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa2.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa3.json | 4 ++-- orion/pipelines/verified/arima/arima_yahooa4.json | 4 ++-- orion/pipelines/verified/azure/azure.json | 4 ++-- .../verified/azure/azure_artificialwithanomaly.json | 2 +- orion/pipelines/verified/azure/azure_msl.json | 2 +- .../verified/azure/azure_realadexchange.json | 2 +- .../verified/azure/azure_realawscloudwatch.json | 2 +- .../pipelines/verified/azure/azure_realtraffic.json | 2 +- orion/pipelines/verified/azure/azure_realtweets.json | 2 +- orion/pipelines/verified/azure/azure_smap.json | 2 +- orion/pipelines/verified/azure/azure_yahooa1.json | 2 +- orion/pipelines/verified/azure/azure_yahooa2.json | 2 +- orion/pipelines/verified/azure/azure_yahooa3.json | 2 +- orion/pipelines/verified/azure/azure_yahooa4.json | 2 +- .../dense_autoencoder/dense_autoencoder.json | 10 +++++----- .../dense_autoencoder_artificialwithanomaly.json | 2 +- .../dense_autoencoder/dense_autoencoder_msl.json | 2 +- .../dense_autoencoder_realadexchange.json | 2 +- .../dense_autoencoder_realawscloudwatch.json | 2 +- .../dense_autoencoder_realtraffic.json | 2 +- .../dense_autoencoder_realtweets.json | 2 +- .../dense_autoencoder/dense_autoencoder_smap.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa1.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa2.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa3.json | 2 +- .../dense_autoencoder/dense_autoencoder_yahooa4.json | 2 +- .../verified/lstm_autoencoder/lstm_autoencoder.json | 10 +++++----- .../lstm_autoencoder_artificialwithanomaly.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_msl.json | 2 +- .../lstm_autoencoder_realadexchange.json | 2 +- .../lstm_autoencoder_realawscloudwatch.json | 2 +- .../lstm_autoencoder_realtraffic.json | 2 +- .../lstm_autoencoder_realtweets.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_smap.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa1.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa2.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa3.json | 2 +- .../lstm_autoencoder/lstm_autoencoder_yahooa4.json | 2 +- .../lstm_dynamic_threshold.json | 8 ++++---- ...lstm_dynamic_threshold_artificialwithanomaly.json | 4 ++-- .../lstm_dynamic_threshold_msl.json | 4 ++-- .../lstm_dynamic_threshold_realadexchange.json | 4 ++-- .../lstm_dynamic_threshold_realawscloudwatch.json | 4 ++-- .../lstm_dynamic_threshold_realtraffic.json | 4 ++-- .../lstm_dynamic_threshold_realtweets.json | 4 ++-- .../lstm_dynamic_threshold_smap.json | 4 ++-- .../lstm_dynamic_threshold_viz.json | 8 ++++---- .../lstm_dynamic_threshold_yahooa1.json | 4 ++-- .../lstm_dynamic_threshold_yahooa2.json | 4 ++-- .../lstm_dynamic_threshold_yahooa3.json | 4 ++-- .../lstm_dynamic_threshold_yahooa4.json | 4 ++-- .../lstm_dynamic_threshold/mean_24h_lstm.json | 8 ++++---- .../lstm_dynamic_threshold/median_24h_lstm.json | 8 ++++---- .../lstm_dynamic_threshold/skew_24h_lstm.json | 8 ++++---- .../lstm_dynamic_threshold/sum_24h_lstm.json | 8 ++++---- orion/pipelines/verified/tadgan/tadgan.json | 10 +++++----- .../tadgan/tadgan_artificialwithanomaly.json | 2 +- orion/pipelines/verified/tadgan/tadgan_msl.json | 2 +- .../verified/tadgan/tadgan_realadexchange.json | 2 +- .../verified/tadgan/tadgan_realawscloudwatch.json | 2 +- .../verified/tadgan/tadgan_realtraffic.json | 2 +- .../pipelines/verified/tadgan/tadgan_realtweets.json | 2 +- orion/pipelines/verified/tadgan/tadgan_smap.json | 2 +- orion/pipelines/verified/tadgan/tadgan_viz.json | 10 +++++----- .../verified/tadgan/tadgan_without_dropout_gpu.json | 10 +++++----- orion/pipelines/verified/tadgan/tadgan_yahooa1.json | 2 +- orion/pipelines/verified/tadgan/tadgan_yahooa2.json | 2 +- orion/pipelines/verified/tadgan/tadgan_yahooa3.json | 2 +- orion/pipelines/verified/tadgan/tadgan_yahooa4.json | 2 +- orion/pipelines/verified/vae/vae.json | 10 +++++----- .../verified/vae/vae_artificialwithanomaly.json | 2 +- orion/pipelines/verified/vae/vae_msl.json | 2 +- orion/pipelines/verified/vae/vae_realadexchange.json | 2 +- .../verified/vae/vae_realawscloudwatch.json | 2 +- orion/pipelines/verified/vae/vae_realtraffic.json | 2 +- orion/pipelines/verified/vae/vae_realtweets.json | 2 +- orion/pipelines/verified/vae/vae_smap.json | 2 +- orion/pipelines/verified/vae/vae_viz.json | 12 ++++++------ orion/pipelines/verified/vae/vae_yahooa1.json | 2 +- orion/pipelines/verified/vae/vae_yahooa2.json | 2 +- orion/pipelines/verified/vae/vae_yahooa3.json | 2 +- orion/pipelines/verified/vae/vae_yahooa4.json | 2 +- orion/primitives/aer.py | 2 +- orion/primitives/tadgan.py | 2 +- 107 files changed, 188 insertions(+), 188 deletions(-) diff --git a/orion/pipelines/verified/aer/aer.json b/orion/pipelines/verified/aer/aer.json index 64e8e886..e0c8b918 100644 --- a/orion/pipelines/verified/aer/aer.json +++ b/orion/pipelines/verified/aer/aer.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.aer.AER", "orion.primitives.aer.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ } }, "output_names": { - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/aer/aer_artificialwithanomaly.json b/orion/pipelines/verified/aer/aer_artificialwithanomaly.json index b0a304d9..cd049716 100644 --- a/orion/pipelines/verified/aer/aer_artificialwithanomaly.json +++ b/orion/pipelines/verified/aer/aer_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_msl.json b/orion/pipelines/verified/aer/aer_msl.json index c4adff01..ac14cfec 100644 --- a/orion/pipelines/verified/aer/aer_msl.json +++ b/orion/pipelines/verified/aer/aer_msl.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realadexchange.json b/orion/pipelines/verified/aer/aer_realadexchange.json index 38026cf5..a41eb356 100644 --- a/orion/pipelines/verified/aer/aer_realadexchange.json +++ b/orion/pipelines/verified/aer/aer_realadexchange.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realawscloudwatch.json b/orion/pipelines/verified/aer/aer_realawscloudwatch.json index 3010df15..7e286ec0 100644 --- a/orion/pipelines/verified/aer/aer_realawscloudwatch.json +++ b/orion/pipelines/verified/aer/aer_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realtraffic.json b/orion/pipelines/verified/aer/aer_realtraffic.json index b0a304d9..cd049716 100644 --- a/orion/pipelines/verified/aer/aer_realtraffic.json +++ b/orion/pipelines/verified/aer/aer_realtraffic.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realtweets.json b/orion/pipelines/verified/aer/aer_realtweets.json index 32a87dad..aaf67f67 100644 --- a/orion/pipelines/verified/aer/aer_realtweets.json +++ b/orion/pipelines/verified/aer/aer_realtweets.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_smap.json b/orion/pipelines/verified/aer/aer_smap.json index c4adff01..ac14cfec 100644 --- a/orion/pipelines/verified/aer/aer_smap.json +++ b/orion/pipelines/verified/aer/aer_smap.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_viz.json b/orion/pipelines/verified/aer/aer_viz.json index 0b8c5e1e..ca2e0a53 100644 --- a/orion/pipelines/verified/aer/aer_viz.json +++ b/orion/pipelines/verified/aer/aer_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.aer.AER", "orion.primitives.aer.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ } }, "output_names": { - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/aer/aer_yahooa1.json b/orion/pipelines/verified/aer/aer_yahooa1.json index d87e0d23..933c5449 100644 --- a/orion/pipelines/verified/aer/aer_yahooa1.json +++ b/orion/pipelines/verified/aer/aer_yahooa1.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa2.json b/orion/pipelines/verified/aer/aer_yahooa2.json index 14c3edfc..73b0e2bc 100644 --- a/orion/pipelines/verified/aer/aer_yahooa2.json +++ b/orion/pipelines/verified/aer/aer_yahooa2.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa3.json b/orion/pipelines/verified/aer/aer_yahooa3.json index 6ca883b0..4a354ca1 100644 --- a/orion/pipelines/verified/aer/aer_yahooa3.json +++ b/orion/pipelines/verified/aer/aer_yahooa3.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa4.json b/orion/pipelines/verified/aer/aer_yahooa4.json index 6ca883b0..4a354ca1 100644 --- a/orion/pipelines/verified/aer/aer_yahooa4.json +++ b/orion/pipelines/verified/aer/aer_yahooa4.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/arima/arima.json b/orion/pipelines/verified/arima/arima.json index 74e77c38..e2ce1331 100644 --- a/orion/pipelines/verified/arima/arima.json +++ b/orion/pipelines/verified/arima/arima.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "numpy.reshape", "statsmodels.tsa.arima_model.Arima", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_artificialwithanomaly.json b/orion/pipelines/verified/arima/arima_artificialwithanomaly.json index 70ef7d5e..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_artificialwithanomaly.json +++ b/orion/pipelines/verified/arima/arima_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_msl.json b/orion/pipelines/verified/arima/arima_msl.json index 306535e3..9287e83d 100644 --- a/orion/pipelines/verified/arima/arima_msl.json +++ b/orion/pipelines/verified/arima/arima_msl.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realadexchange.json b/orion/pipelines/verified/arima/arima_realadexchange.json index 0a360ef3..5a85a79a 100644 --- a/orion/pipelines/verified/arima/arima_realadexchange.json +++ b/orion/pipelines/verified/arima/arima_realadexchange.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realawscloudwatch.json b/orion/pipelines/verified/arima/arima_realawscloudwatch.json index 70ef7d5e..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_realawscloudwatch.json +++ b/orion/pipelines/verified/arima/arima_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realtraffic.json b/orion/pipelines/verified/arima/arima_realtraffic.json index 70ef7d5e..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_realtraffic.json +++ b/orion/pipelines/verified/arima/arima_realtraffic.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realtweets.json b/orion/pipelines/verified/arima/arima_realtweets.json index 70ef7d5e..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_realtweets.json +++ b/orion/pipelines/verified/arima/arima_realtweets.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_smap.json b/orion/pipelines/verified/arima/arima_smap.json index 306535e3..9287e83d 100644 --- a/orion/pipelines/verified/arima/arima_smap.json +++ b/orion/pipelines/verified/arima/arima_smap.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa1.json b/orion/pipelines/verified/arima/arima_yahooa1.json index d43f1728..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa1.json +++ b/orion/pipelines/verified/arima/arima_yahooa1.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa2.json b/orion/pipelines/verified/arima/arima_yahooa2.json index d43f1728..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa2.json +++ b/orion/pipelines/verified/arima/arima_yahooa2.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa3.json b/orion/pipelines/verified/arima/arima_yahooa3.json index d43f1728..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa3.json +++ b/orion/pipelines/verified/arima/arima_yahooa3.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa4.json b/orion/pipelines/verified/arima/arima_yahooa4.json index d43f1728..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa4.json +++ b/orion/pipelines/verified/arima/arima_yahooa4.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/azure/azure.json b/orion/pipelines/verified/azure/azure.json index c4a899f5..75639243 100644 --- a/orion/pipelines/verified/azure/azure.json +++ b/orion/pipelines/verified/azure/azure.json @@ -1,13 +1,13 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", "orion.primitives.azure_anomaly_detector.split_sequence", "orion.primitives.azure_anomaly_detector.detect_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_artificialwithanomaly.json b/orion/pipelines/verified/azure/azure_artificialwithanomaly.json index fde9a1a7..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_artificialwithanomaly.json +++ b/orion/pipelines/verified/azure/azure_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_msl.json b/orion/pipelines/verified/azure/azure_msl.json index 3f6cee43..16afea09 100644 --- a/orion/pipelines/verified/azure/azure_msl.json +++ b/orion/pipelines/verified/azure/azure_msl.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realadexchange.json b/orion/pipelines/verified/azure/azure_realadexchange.json index d5ba1cb2..dbd59e76 100644 --- a/orion/pipelines/verified/azure/azure_realadexchange.json +++ b/orion/pipelines/verified/azure/azure_realadexchange.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realawscloudwatch.json b/orion/pipelines/verified/azure/azure_realawscloudwatch.json index fde9a1a7..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_realawscloudwatch.json +++ b/orion/pipelines/verified/azure/azure_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realtraffic.json b/orion/pipelines/verified/azure/azure_realtraffic.json index fde9a1a7..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_realtraffic.json +++ b/orion/pipelines/verified/azure/azure_realtraffic.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realtweets.json b/orion/pipelines/verified/azure/azure_realtweets.json index fde9a1a7..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_realtweets.json +++ b/orion/pipelines/verified/azure/azure_realtweets.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_smap.json b/orion/pipelines/verified/azure/azure_smap.json index 3f6cee43..16afea09 100644 --- a/orion/pipelines/verified/azure/azure_smap.json +++ b/orion/pipelines/verified/azure/azure_smap.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa1.json b/orion/pipelines/verified/azure/azure_yahooa1.json index 0a418d6e..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa1.json +++ b/orion/pipelines/verified/azure/azure_yahooa1.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa2.json b/orion/pipelines/verified/azure/azure_yahooa2.json index 0a418d6e..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa2.json +++ b/orion/pipelines/verified/azure/azure_yahooa2.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa3.json b/orion/pipelines/verified/azure/azure_yahooa3.json index 0a418d6e..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa3.json +++ b/orion/pipelines/verified/azure/azure_yahooa3.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa4.json b/orion/pipelines/verified/azure/azure_yahooa4.json index 0a418d6e..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa4.json +++ b/orion/pipelines/verified/azure/azure_yahooa4.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json index 5f6d4f7c..2cc25ebf 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "keras.Sequential.DenseSeq2Seq", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -18,7 +18,7 @@ "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100 }, @@ -43,7 +43,7 @@ "keras.Sequential.DenseSeq2Seq#1": { "y": "y_hat" }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json index 19c5f050..e4fe0c11 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json index 693756d8..6b8aac0a 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json index 19c5f050..e4fe0c11 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json index 367ae312..91c545bd 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "keras.Sequential.LSTMSeq2Seq", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -18,7 +18,7 @@ "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100 }, @@ -43,7 +43,7 @@ "keras.Sequential.LSTMSeq2Seq#1": { "y": "y_hat" }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json index 19c5f050..e4fe0c11 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json index 693756d8..6b8aac0a 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json index 19c5f050..e4fe0c11 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json index 0e07913a..4d87efd6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json index 25b598ec..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json index 6e7e620f..e3af2f6c 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json index 55d8f9ea..4e102c19 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json index 25b598ec..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json index 25b598ec..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json index 25b598ec..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json index 6e7e620f..e3af2f6c 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json @@ -1,12 +1,12 @@ { - 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"mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json index 2be457e5..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json index 2be457e5..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json index 2be457e5..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json index 2be457e5..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json @@ -1,12 +1,12 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json index 239604a9..4d27d7ca 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json index e6c9c169..33dfe1e1 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "median" @@ -20,7 +20,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json index c0dbd5ea..9b24ca7b 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "skew" @@ -20,7 +20,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json index 31e3f7c6..ad52de45 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "sum" @@ -20,7 +20,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/tadgan/tadgan.json b/orion/pipelines/verified/tadgan/tadgan.json index fb6cd78f..cbda5bd1 100644 --- a/orion/pipelines/verified/tadgan/tadgan.json +++ b/orion/pipelines/verified/tadgan/tadgan.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json b/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json index 76a8d644..43fd29e7 100644 --- a/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json +++ b/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_msl.json b/orion/pipelines/verified/tadgan/tadgan_msl.json index 8a07746a..9a303c86 100644 --- a/orion/pipelines/verified/tadgan/tadgan_msl.json +++ b/orion/pipelines/verified/tadgan/tadgan_msl.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realadexchange.json b/orion/pipelines/verified/tadgan/tadgan_realadexchange.json index c10ccf41..a447aee3 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realadexchange.json +++ b/orion/pipelines/verified/tadgan/tadgan_realadexchange.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json b/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json index ab897a05..d4f238ea 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json +++ b/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realtraffic.json b/orion/pipelines/verified/tadgan/tadgan_realtraffic.json index 0d4a6091..9a17b15e 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realtraffic.json +++ b/orion/pipelines/verified/tadgan/tadgan_realtraffic.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realtweets.json b/orion/pipelines/verified/tadgan/tadgan_realtweets.json index 0d4a6091..9a17b15e 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realtweets.json +++ b/orion/pipelines/verified/tadgan/tadgan_realtweets.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_smap.json b/orion/pipelines/verified/tadgan/tadgan_smap.json index 8a07746a..9a303c86 100644 --- a/orion/pipelines/verified/tadgan/tadgan_smap.json +++ b/orion/pipelines/verified/tadgan/tadgan_smap.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_viz.json b/orion/pipelines/verified/tadgan/tadgan_viz.json index 3a8b9e53..0144dc36 100644 --- a/orion/pipelines/verified/tadgan/tadgan_viz.json +++ b/orion/pipelines/verified/tadgan/tadgan_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -53,7 +53,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json b/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json index c73dc994..e956b464 100644 --- a/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json +++ b/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -165,7 +165,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa1.json b/orion/pipelines/verified/tadgan/tadgan_yahooa1.json index c8830600..34bf4f2b 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa1.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa1.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa2.json b/orion/pipelines/verified/tadgan/tadgan_yahooa2.json index debaa5e7..2a9a20f2 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa2.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa2.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa3.json b/orion/pipelines/verified/tadgan/tadgan_yahooa3.json index a6d151c9..3c917de8 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa3.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa3.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa4.json b/orion/pipelines/verified/tadgan/tadgan_yahooa4.json index 2978187f..91ab401a 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa4.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa4.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/vae/vae.json b/orion/pipelines/verified/vae/vae.json index 782ada08..8ecd7d93 100644 --- a/orion/pipelines/verified/vae/vae.json +++ b/orion/pipelines/verified/vae/vae.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.vae.VAE", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -44,7 +44,7 @@ "orion.primitives.vae.VAE#1": { "y": "y_hat" }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/vae/vae_artificialwithanomaly.json b/orion/pipelines/verified/vae/vae_artificialwithanomaly.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_artificialwithanomaly.json +++ b/orion/pipelines/verified/vae/vae_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_msl.json b/orion/pipelines/verified/vae/vae_msl.json index 19c5f050..e4fe0c11 100644 --- a/orion/pipelines/verified/vae/vae_msl.json +++ b/orion/pipelines/verified/vae/vae_msl.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/vae/vae_realadexchange.json b/orion/pipelines/verified/vae/vae_realadexchange.json index 693756d8..6b8aac0a 100644 --- a/orion/pipelines/verified/vae/vae_realadexchange.json +++ b/orion/pipelines/verified/vae/vae_realadexchange.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/vae/vae_realawscloudwatch.json b/orion/pipelines/verified/vae/vae_realawscloudwatch.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_realawscloudwatch.json +++ b/orion/pipelines/verified/vae/vae_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_realtraffic.json b/orion/pipelines/verified/vae/vae_realtraffic.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_realtraffic.json +++ b/orion/pipelines/verified/vae/vae_realtraffic.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_realtweets.json b/orion/pipelines/verified/vae/vae_realtweets.json index 0172464f..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_realtweets.json +++ b/orion/pipelines/verified/vae/vae_realtweets.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_smap.json b/orion/pipelines/verified/vae/vae_smap.json index 19c5f050..e4fe0c11 100644 --- a/orion/pipelines/verified/vae/vae_smap.json +++ b/orion/pipelines/verified/vae/vae_smap.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/vae/vae_viz.json b/orion/pipelines/verified/vae/vae_viz.json index 320eca4d..fd3760e3 100644 --- a/orion/pipelines/verified/vae/vae_viz.json +++ b/orion/pipelines/verified/vae/vae_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.vae.VAE", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -44,7 +44,7 @@ "orion.primitives.vae.VAE#1": { "y": "y_hat" }, - "mlstar.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } @@ -67,7 +67,7 @@ }, { "name": "index", - "variable": "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1.index" + "variable": "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1.index" }, { "name": "errors", diff --git a/orion/pipelines/verified/vae/vae_yahooa1.json b/orion/pipelines/verified/vae/vae_yahooa1.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa1.json +++ b/orion/pipelines/verified/vae/vae_yahooa1.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa2.json b/orion/pipelines/verified/vae/vae_yahooa2.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa2.json +++ b/orion/pipelines/verified/vae/vae_yahooa2.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa3.json b/orion/pipelines/verified/vae/vae_yahooa3.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa3.json +++ b/orion/pipelines/verified/vae/vae_yahooa3.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa4.json b/orion/pipelines/verified/vae/vae_yahooa4.json index 6e1fb56b..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa4.json +++ b/orion/pipelines/verified/vae/vae_yahooa4.json @@ -1,5 +1,5 @@ { - "mlstar.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/primitives/aer.py b/orion/primitives/aer.py index 5223e120..75d80566 100644 --- a/orion/primitives/aer.py +++ b/orion/primitives/aer.py @@ -4,7 +4,7 @@ import numpy as np import tensorflow as tf -from mlprimitives.utils import import_object +from mlstars.utils import import_object from numpy import ndarray from sklearn.preprocessing import MinMaxScaler from tensorflow.keras.layers import Input diff --git a/orion/primitives/tadgan.py b/orion/primitives/tadgan.py index 6d8282da..5f3d9d14 100644 --- a/orion/primitives/tadgan.py +++ b/orion/primitives/tadgan.py @@ -8,7 +8,7 @@ import numpy as np import pandas as pd import tensorflow as tf -from mlprimitives.utils import import_object +from mlstars.utils import import_object from numpy import ndarray from scipy import stats from tensorflow.keras import Model From ee7089bed5cc1caebfe1673568d7601c954cf69a Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Fri, 12 May 2023 13:50:59 -0400 Subject: [PATCH 05/10] add tqdm to requirements --- setup.py | 1 + 1 file changed, 1 insertion(+) diff --git a/setup.py b/setup.py index 73255e81..f4bc3141 100644 --- a/setup.py +++ b/setup.py @@ -30,6 +30,7 @@ 'pyts>=0.9,<0.11', 'azure-cognitiveservices-anomalydetector>=0.3,<0.4', 'xlsxwriter>=1.3.6,<1.4', + 'tqdm>=4.36.1', # fix conflict 'h5py<2.11.0,>=2.10.0', From 568753e443cc2070ff3840968f474e75e85e466c Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Fri, 12 May 2023 13:51:12 -0400 Subject: [PATCH 06/10] fix imports --- orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json | 2 +- orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json | 2 +- orion/primitives/timeseries_errors.py | 2 +- orion/primitives/vae.py | 3 ++- 4 files changed, 5 insertions(+), 4 deletions(-) diff --git a/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json b/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json index eb0e520d..65d953c6 100644 --- a/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json +++ b/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json @@ -10,7 +10,7 @@ "subtype": "regressor" }, "modalities": [], - "primitive": "mlstar.adapters.keras.Sequential", + "primitive": "mlstars.adapters.keras.Sequential", "fit": { "method": "fit", "args": [ diff --git a/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json b/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json index 6049ac6b..4925fd72 100644 --- a/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json +++ b/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json @@ -10,7 +10,7 @@ "subtype": "regressor" }, "modalities": [], - "primitive": "mlstar.adapters.keras.Sequential", + "primitive": "mlstars.adapters.keras.Sequential", "fit": { "method": "fit", "args": [ diff --git a/orion/primitives/timeseries_errors.py b/orion/primitives/timeseries_errors.py index f304b5ba..4fde3863 100644 --- a/orion/primitives/timeseries_errors.py +++ b/orion/primitives/timeseries_errors.py @@ -43,7 +43,7 @@ def regression_errors(y, y_hat, smoothing_window=0.01, smooth=True, if not smooth: return errors - smoothing_window = max(1, int(len(y)*smoothing_window)) + smoothing_window = max(1, int(len(y) * smoothing_window)) errors = pd.Series(errors).ewm(span=smoothing_window).mean().values if mask: diff --git a/orion/primitives/vae.py b/orion/primitives/vae.py index b350a768..9536c0fd 100644 --- a/orion/primitives/vae.py +++ b/orion/primitives/vae.py @@ -11,11 +11,12 @@ import numpy as np import tensorflow as tf -from mlprimitives.utils import import_object from tensorflow.keras import backend as K from tensorflow.keras.layers import Input from tensorflow.keras.models import Model +from mlprimitives.utils import import_object + LOGGER = logging.getLogger(__name__) From 6b1ea3d1c3299129c6ebeb6bae58a1fe145b0460 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Tue, 16 May 2023 13:50:58 -0400 Subject: [PATCH 07/10] change tutorials to mlstars --- orion/primitives/vae.py | 2 +- tutorials/Multivariate_Input.ipynb | 10 +++++----- tutorials/pipelines/azure.ipynb | 6 +++--- .../pipelines/lstm_dynamic_threshold.ipynb | 18 +++++------------- tutorials/tulog/Tulog.ipynb | 8 ++++---- tutorials/tulog/tadgan.json | 10 +++++----- 6 files changed, 23 insertions(+), 31 deletions(-) diff --git a/orion/primitives/vae.py b/orion/primitives/vae.py index 9536c0fd..f2662e01 100644 --- a/orion/primitives/vae.py +++ b/orion/primitives/vae.py @@ -15,7 +15,7 @@ from tensorflow.keras.layers import Input from tensorflow.keras.models import Model -from mlprimitives.utils import import_object +from mlstars.utils import import_object LOGGER = logging.getLogger(__name__) diff --git a/tutorials/Multivariate_Input.ipynb b/tutorials/Multivariate_Input.ipynb index 37e5a2d0..75d6c5ed 100644 --- a/tutorials/Multivariate_Input.ipynb +++ b/tutorials/Multivariate_Input.ipynb @@ -286,7 +286,7 @@ "from orion import Orion\n", "\n", "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", " 'target_column': 0 \n", " },\n", " 'keras.Sequential.LSTMTimeSeriesRegressor#1': {\n", @@ -381,7 +381,7 @@ "\n", "```python3\n", "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", " 'window_size': 100,\n", " 'target_column': 0 \n", " },\n", @@ -429,7 +429,7 @@ ], "source": [ "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", " 'window_size': 150,\n", " 'target_column': 0 \n", " },\n", @@ -470,7 +470,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -484,7 +484,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.10" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/pipelines/azure.ipynb b/tutorials/pipelines/azure.ipynb index a6319789..48d86ffe 100644 --- a/tutorials/pipelines/azure.ipynb +++ b/tutorials/pipelines/azure.ipynb @@ -141,7 +141,7 @@ "outputs": [], "source": [ "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", " \"interval\": 21600,\n", " },\n", " \"orion.primitives.azure_anomaly_detector.split_sequence#1\": {\n", @@ -201,7 +201,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -215,7 +215,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.11" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/pipelines/lstm_dynamic_threshold.ipynb b/tutorials/pipelines/lstm_dynamic_threshold.ipynb index 341a9374..a036af00 100644 --- a/tutorials/pipelines/lstm_dynamic_threshold.ipynb +++ b/tutorials/pipelines/lstm_dynamic_threshold.ipynb @@ -116,15 +116,7 @@ "execution_count": 3, "id": "fa524c4c", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - } - ], + "outputs": [], "source": [ "from mlblocks import MLPipeline\n", "\n", @@ -171,10 +163,10 @@ { "data": { "text/plain": [ - "['mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate',\n", + "['mlstars.custom.timeseries_preprocessing.time_segments_aggregate',\n", " 'sklearn.impute.SimpleImputer',\n", " 'sklearn.preprocessing.MinMaxScaler',\n", - " 'mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences',\n", + " 'mlstars.custom.timeseries_preprocessing.rolling_window_sequences',\n", " 'keras.Sequential.LSTMTimeSeriesRegressor',\n", " 'orion.primitives.timeseries_errors.regression_errors',\n", " 'orion.primitives.timeseries_anomalies.find_anomalies']" @@ -665,7 +657,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -679,7 +671,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.11" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/tulog/Tulog.ipynb b/tutorials/tulog/Tulog.ipynb index 1b74b94b..e11b45aa 100644 --- a/tutorials/tulog/Tulog.ipynb +++ b/tutorials/tulog/Tulog.ipynb @@ -329,10 +329,10 @@ "\n", "```\n", "\"primitives\": [ \n", - " \"mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate”,\n", + " \"mlstars.custom.timeseries_preprocessing.time_segments_aggregate”,\n", " \"sklearn.impute.SimpleImputer\",\n", " \"sklearn.preprocessing.MinMaxScaler\",\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences\",\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences\",\n", " \"orion.primitives.tadgan.TadGAN\",\n", " \"orion.primitives.tadgan.score_anomalies\",\n", " \"orion.primitives.timeseries_anomalies.find_anomalies\"\n", @@ -1025,7 +1025,7 @@ "from orion import Orion\n", "\n", "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", " \"interval\": 3600 # hour level\n", " },\n", " 'orion.primitives.tadgan.TadGAN#1': {\n", @@ -1346,7 +1346,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.13" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/tulog/tadgan.json b/tutorials/tulog/tadgan.json index 4db5fe68..f3fcd4b8 100644 --- a/tutorials/tulog/tadgan.json +++ b/tutorials/tulog/tadgan.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -165,7 +165,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } From 37413e198588798255fc2b7c7cb76899bb5f1a68 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Tue, 16 May 2023 18:06:15 -0400 Subject: [PATCH 08/10] update ml-stars --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index f4bc3141..6f8fd6da 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ "tensorflow>=2.2,<2.5;python_version>='3.8'", 's3fs>=0.2.2,<0.5', 'mlblocks>=0.4.1,<0.5', - 'ml-stars>=0.1.0,<0.2', + 'ml-stars>=0.1.1.dev1,<0.2', 'numpy>=1.17.4,<1.19', 'pandas>=1,<2', 'scikit-learn>=0.22,<1.2', From cbd2a9839ec888387d7091dee46cd7d00b247b5c Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Tue, 16 May 2023 18:11:30 -0400 Subject: [PATCH 09/10] fix order --- orion/primitives/vae.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/orion/primitives/vae.py b/orion/primitives/vae.py index f2662e01..947dcee8 100644 --- a/orion/primitives/vae.py +++ b/orion/primitives/vae.py @@ -11,12 +11,11 @@ import numpy as np import tensorflow as tf +from mlstars.utils import import_object from tensorflow.keras import backend as K from tensorflow.keras.layers import Input from tensorflow.keras.models import Model -from mlstars.utils import import_object - LOGGER = logging.getLogger(__name__) From 51a6b61b3ac4833c5650b3370d61fbee947e372c Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Wed, 17 May 2023 13:32:40 -0400 Subject: [PATCH 10/10] update mlstars --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 6f8fd6da..da01846f 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ "tensorflow>=2.2,<2.5;python_version>='3.8'", 's3fs>=0.2.2,<0.5', 'mlblocks>=0.4.1,<0.5', - 'ml-stars>=0.1.1.dev1,<0.2', + 'ml-stars>=0.1.1,<0.2', 'numpy>=1.17.4,<1.19', 'pandas>=1,<2', 'scikit-learn>=0.22,<1.2',